在一次性生物反应器中用于哺乳动物细胞培养的集成in-silico模型:跨尺度的水力动力学,动力学和过程控制的桥梁
Aparajita Dasgupta1, John Thomas2, Alaina Anand3
1Manufacturing Sciences and Technology, Pfizer Andover, MA 01810, United States.
Journal of biotechnology
|June 21, 2025
概括
一个新的计算流体动力学 (CFD) 模型通过整合水力学和动力学来优化哺乳动物生物过程. 这种新的方法加速了生物反应器的优化和扩展,揭示了谷氨胺.
科学领域:
- 生物技术是生物技术.
- 化学工程是化学工程的重要组成部分.
- 计算科学 计算科学
背景情况:
- 哺乳动物细胞培养生物过程对于生产生物制剂至关重要.
- 扩大生物工艺的规模在维持最佳条件方面带来了重大挑战.
- 准确的建模对于高效的生物反应器设计和运行至关重要.
研究的目的:
- 开发和验证用于哺乳动物生物过程的混合计算流体动力学 (CFD) 模型.
- 整合水力动力学,动力学和控制系统建模,以优化生物反应器.
- 评估模型对高效扩展和流程分析的能力.
主要方法:
- 开发了一种新的混合CFD模型,集成了水力动力学,动力学和控制系统.
- 该模型模拟了14天的生物工艺在250毫升,1000毫升和2000毫升的尺度.
- 在模拟中调整了比例整数导数 (PID) 控制参数,以控制料.
主要成果:
- 该CFD模型准确地模拟了不同尺度的细胞生长概况.
- 细胞生长敏感性分析显示,葡萄糖的影响很小,但谷氨酸度的影响很大.
- 该模型使得料交付策略的优化成为可能,并证明了扩展效用.
结论:
- 混合CFD模型为生物反应器优化和扩展提供了强大的计算工具.
- 整合水力动力学,动力学和控制系统加速了过程开发.
- 了解营养敏感性 (例如,谷氨胺) 对于成功扩大哺乳动物生物过程至关重要.
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